|Table of Contents|

Rules based T-S Fuzzy Neural Network(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
1999年06期
Page:
490-493
Research Field:
Publishing date:

Info

Title:
Rules based T-S Fuzzy Neural Network
Author(s):
WuXiaobei XuZhiliang YuWeiqing
School of Information,NUST,Nanjing 210094
Keywords:
neural netw orks fuzzy reasoning cont rol
PACS:
TP183
DOI:
-
Abstract:
In this paper, a rules-based T-S fuzzy neural network and its algorithm are presented. First , a group of init ial fuzzy rules are produced using self- organizing algorithm to cluster learning data. Then error back-propagation alg orithm is introduced to adjust the netw ork parameters. The simulat ion results demonstrate that the fuzzy neural network has the advantages of simple structure and the high f it t ing accuracy.

References:

1 易继锴, 侯媛彬. 智能控制技术.北京: 北京工业大学出版社, 1999
2 焦李成. 神经网络系统理论.西安: 西安电子科技大学出版社, 1991
3 李士勇.模糊控制、神经控制和智能控制率.哈尔滨: 哈尔滨工业大学出版社, 1996
4 孙增圻, 张再兴, 邓志东. 智能控制理论与技术. 北京: 清华大学出版社, 1997
5 郁炜青. 基于规则的模糊神经网络研究: [ 博士学位论文] .南京: 南京理工大学, 1999

Memo

Memo:
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Last Update: 2013-03-29